Technical terms should become bridges, not walls.

This glossary explains the key BEYOND concepts in clear public language so readers, partners, and beginners can follow the project without being buried in jargon.

Large Language Model

LLM

A large language model is an AI system that can understand and generate text. In BEYOND, it can become the conversational layer above the book/wiki content.

Retrieval-Augmented Generation

RAG

RAG means the AI first retrieves relevant source material, then answers. This reduces guessing and connects answers to the BEYOND knowledge base.

Semantic search database

Vector database

A vector database stores meaning, not only words. It helps the system find related passages even when the user asks in different language or wording.

Numerical meaning representation

Embedding

An embedding is a mathematical fingerprint of meaning. It lets machines compare ideas by similarity.

Direct satellite-to-device communication

Direct-to-Device

A communication model where ordinary devices may connect directly with satellites, especially when normal terrestrial coverage is unavailable.

Evidence and verification layer

Trust layer

A visible system of release notes, live checks, tags, build logs, and proof pages that makes the project verifiable.

Speech interface layer

Voice layer

The future voice interface will allow users to ask questions by speaking and receive spoken answers from the BEYOND book/wiki system.

Prepared knowledge for real decisions

Decision-ready intelligence

Information that is organized, explained, and contextualized well enough to help a human make a decision.